Shuang Gao

Artificial Intelligence · with Calhoun · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ran Gilad-Bachrach
  2. Steven Lemm
  3. Junghoe Kim
  4. Pedro M. Domingos
  5. Amir Navot
  6. Vince D. Calhoun
  7. Benjamin Blankertz
  8. Ron Kohavi
  9. Yong He
  10. L. Zeng

Papers from Shuang Gao's perspective

Ordered by how strongly the researchers Shuang Gao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional… (NeuroImage)
  2. Machine learning classifiers and fMRI: a tutorial overview
  3. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (NeuroImage)
  4. Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression (Biological Psychiatry)
  5. Assessing the accuracy of prediction algorithms for classification: an overview (Bioinform.)
  6. Introduction to machine learning for brain imaging
  7. Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI
  8. Margin based feature selection - theory and algorithms (International Conference on Machine Learning)
  9. A few useful things to know about machine learning
  10. ImageNet classification with deep convolutional neural networks

Their papers